Movie Report

Dataset statistics

Number of variables	16
Number of observations	46646
Missing cells	164464
Missing cells (%)	22.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	6.0 MiB
Average record size in memory	136.0 B

Variable types

Text	12
Numeric	4

Alerts

`budget_in_usd` is highly overall correlated with `revenue_in_usd`	High correlation
`revenue_in_usd` is highly overall correlated with `budget_in_usd`	High correlation
`rating` has 21675 (46.5%) missing values	Missing
`directors` has 3338 (7.2%) missing values	Missing
`writers` has 3338 (7.2%) missing values	Missing
`stars` has 3338 (7.2%) missing values	Missing
`storyline` has 4283 (9.2%) missing values	Missing
`origin_countries` has 1985 (4.3%) missing values	Missing
`languages` has 3211 (6.9%) missing values	Missing
`budget` has 31898 (68.4%) missing values	Missing
`revenue` has 29024 (62.2%) missing values	Missing
`revenue_in_usd` has 29053 (62.3%) missing values	Missing
`budget_in_usd` has 33174 (71.1%) missing values	Missing
`runtime_in_minutes` is highly skewed (γ1 = 125.1698326)	Skewed
`id` has unique values	Unique
`runtime_in_minutes` has 11806 (25.3%) zeros	Zeros

Reproduction

Analysis started	2024-07-06 00:38:35.939951
Analysis finished	2024-07-06 00:38:40.430550
Duration	4.49 seconds
Software version	ydata-profiling v4.8.3
Download configuration	config.json

id
Text

UNIQUE

Distinct	46646
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	728.8 KiB

Length

Max length	10
Median length	9
Mean length	9.2462591
Min length	9

Characters and Unicode

Total characters	431301
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	46646 ?
Unique (%)	100.0%

Sample

1st row	tt0060437
2nd row	tt0098300
3rd row	tt1853739
4th row	tt22036900
5th row	tt0419434

Value	Count	Frequency (%)
tt0060437	1	< 0.1%
tt1260704	1	< 0.1%
tt0096869	1	< 0.1%
tt0071402	1	< 0.1%
tt1853739	1	< 0.1%
tt22036900	1	< 0.1%
tt0419434	1	< 0.1%
tt15073144	1	< 0.1%
tt0082406	1	< 0.1%
tt0421729	1	< 0.1%
Other values (46636)	46636	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
t	93292	21.6%
0	56078	13.0%
1	40769	9.5%
2	37590	8.7%
4	32543	7.5%
6	30754	7.1%
8	30442	7.1%
3	30120	7.0%
5	26841	6.2%
7	26837	6.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	431301	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	93292	21.6%
0	56078	13.0%
1	40769	9.5%
2	37590	8.7%
4	32543	7.5%
6	30754	7.1%
8	30442	7.1%
3	30120	7.0%
5	26841	6.2%
7	26837	6.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	431301	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	93292	21.6%
0	56078	13.0%
1	40769	9.5%
2	37590	8.7%
4	32543	7.5%
6	30754	7.1%
8	30442	7.1%
3	30120	7.0%
5	26841	6.2%
7	26837	6.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	431301	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	93292	21.6%
0	56078	13.0%
1	40769	9.5%
2	37590	8.7%
4	32543	7.5%
6	30754	7.1%
8	30442	7.1%
3	30120	7.0%
5	26841	6.2%
7	26837	6.2%

title
Text

Distinct	43974
Distinct (%)	94.4%
Missing	73
Missing (%)	0.2%
Memory size	728.8 KiB

Length

Max length	146
Median length	92
Mean length	18.115818
Min length	1

Characters and Unicode

Total characters	843708
Distinct characters	143
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	41944 ?
Unique (%)	90.1%

Sample

1st row	Funeral in Berlin
2nd row	Shag
3rd row	You're Next
4th row	Covid Karma
5th row	American Hardcore

Value	Count	Frequency (%)
the	14763	9.9%
of	5228	3.5%
a	2048	1.4%
and	1695	1.1%
in	1436	1.0%
	1386	0.9%
to	1049	0.7%
2	715	0.5%
movie	706	0.5%
story	663	0.4%
Other values (31442)	119361	80.1%

Most occurring characters

Value	Count	Frequency (%)
	102478	12.1%
e	81023	9.6%
a	58638	7.0%
o	50575	6.0%
n	46465	5.5%
i	45500	5.4%
r	43970	5.2%
t	40153	4.8%
s	31379	3.7%
h	30430	3.6%
Other values (133)	313097	37.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	843708	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	102478	12.1%
e	81023	9.6%
a	58638	7.0%
o	50575	6.0%
n	46465	5.5%
i	45500	5.4%
r	43970	5.2%
t	40153	4.8%
s	31379	3.7%
h	30430	3.6%
Other values (133)	313097	37.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	843708	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	102478	12.1%
e	81023	9.6%
a	58638	7.0%
o	50575	6.0%
n	46465	5.5%
i	45500	5.4%
r	43970	5.2%
t	40153	4.8%
s	31379	3.7%
h	30430	3.6%
Other values (133)	313097	37.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	843708	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	102478	12.1%
e	81023	9.6%
a	58638	7.0%
o	50575	6.0%
n	46465	5.5%
i	45500	5.4%
r	43970	5.2%
t	40153	4.8%
s	31379	3.7%
h	30430	3.6%
Other values (133)	313097	37.1%

rating
Real number (ℝ)

MISSING

Distinct	91
Distinct (%)	0.4%
Missing	21675
Missing (%)	46.5%
Infinite	0
Infinite (%)	0.0%
Mean	6.1354051

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	728.8 KiB

Quantile statistics

Minimum	1
5-th percentile	3.8
Q1	5.4
median	6.3
Q3	7
95-th percentile	7.9
Maximum	10
Range	9
Interquartile range (IQR)	1.6

Descriptive statistics

Standard deviation	1.2234213
Coefficient of variation (CV)	0.19940351
Kurtosis	0.6781104
Mean	6.1354051
Median Absolute Deviation (MAD)	0.8
Skewness	-0.63457816
Sum	153207.2
Variance	1.4967596
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.4	953	2.0%
6.3	923	2.0%
6.6	916	2.0%
6.2	913	2.0%
6.1	894	1.9%
6.5	888	1.9%
6.8	874	1.9%
6.7	873	1.9%
7	773	1.7%
7.1	759	1.6%
Other values (81)	16205	34.7%
(Missing)	21675	46.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3	< 0.1%
1.1	3	< 0.1%
1.2	4	< 0.1%
1.3	9	< 0.1%
1.4	7	< 0.1%
1.5	11	< 0.1%
1.6	8	< 0.1%
1.7	6	< 0.1%
1.8	14	< 0.1%
1.9	17	< 0.1%

Value	Count	Frequency (%)
10	1	< 0.1%
9.9	1	< 0.1%
9.8	2	< 0.1%
9.7	3	< 0.1%
9.6	2	< 0.1%
9.5	3	< 0.1%
9.4	2	< 0.1%
9.3	8	< 0.1%
9.2	6	< 0.1%
9.1	19	< 0.1%

directors
Text

MISSING

Distinct	24480
Distinct (%)	56.5%
Missing	3338
Missing (%)	7.2%
Memory size	728.8 KiB

Length

Max length	106
Median length	94
Mean length	17.339175
Min length	3

Characters and Unicode

Total characters	750925
Distinct characters	115
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	18118 ?
Unique (%)	41.8%

Sample

1st row	Guy Hamilton
2nd row	Zelda Barron
3rd row	Adam Wingard
4th row	Biju Viswanath
5th row	Paul Rachman

Value	Count	Frequency (%)
nonedirectors	1042	1.0%
john	951	0.9%
david	804	0.8%
michael	781	0.7%
robert	564	0.5%
james	450	0.4%
richard	429	0.4%
peter	426	0.4%
william	408	0.4%
paul	382	0.4%
Other values (26303)	99478	94.1%

Most occurring characters

Value	Count	Frequency (%)
a	63599	8.5%
	62407	8.3%
e	57051	7.6%
	49549	6.6%
n	47167	6.3%
r	45543	6.1%
i	45511	6.1%
o	41064	5.5%
l	28986	3.9%
s	24629	3.3%
Other values (105)	285419	38.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	750925	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	63599	8.5%
	62407	8.3%
e	57051	7.6%
	49549	6.6%
n	47167	6.3%
r	45543	6.1%
i	45511	6.1%
o	41064	5.5%
l	28986	3.9%
s	24629	3.3%
Other values (105)	285419	38.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	750925	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	63599	8.5%
	62407	8.3%
e	57051	7.6%
	49549	6.6%
n	47167	6.3%
r	45543	6.1%
i	45511	6.1%
o	41064	5.5%
l	28986	3.9%
s	24629	3.3%
Other values (105)	285419	38.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	750925	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	63599	8.5%
	62407	8.3%
e	57051	7.6%
	49549	6.6%
n	47167	6.3%
r	45543	6.1%
i	45511	6.1%
o	41064	5.5%
l	28986	3.9%
s	24629	3.3%
Other values (105)	285419	38.0%

writers
Text

MISSING

Distinct	38540
Distinct (%)	89.0%
Missing	3338
Missing (%)	7.2%
Memory size	728.8 KiB

Length

Max length	153
Median length	83
Mean length	33.318186
Min length	3

Characters and Unicode

Total characters	1442944
Distinct characters	122
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	35839 ?
Unique (%)	82.8%

Sample

1st row	Len Deighton, Evan Jones
2nd row	, Lanier Laney, Terry Sweeney, Robin Swicord,
3rd row	Simon Barrett
4th row	noneStars, Rodney Norman, Christine Ohlman, Christopher Annino, noneStars
5th row	noneWriter, Steven Blush, noneWriter

Value	Count	Frequency (%)
	9528	4.8%
nonestars	4508	2.3%
nonewriter	2154	1.1%
john	1541	0.8%
david	1401	0.7%
michael	1177	0.6%
robert	1045	0.5%
james	771	0.4%
william	674	0.3%
paul	659	0.3%
Other values (43274)	173883	88.1%

Most occurring characters

Value	Count	Frequency (%)
	163559	11.3%
a	115170	8.0%
e	104154	7.2%
n	90117	6.2%
	85631	5.9%
r	84316	5.8%
i	77553	5.4%
o	72915	5.1%
,	68037	4.7%
l	50629	3.5%
Other values (112)	530863	36.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1442944	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	163559	11.3%
a	115170	8.0%
e	104154	7.2%
n	90117	6.2%
	85631	5.9%
r	84316	5.8%
i	77553	5.4%
o	72915	5.1%
,	68037	4.7%
l	50629	3.5%
Other values (112)	530863	36.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1442944	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	163559	11.3%
a	115170	8.0%
e	104154	7.2%
n	90117	6.2%
	85631	5.9%
r	84316	5.8%
i	77553	5.4%
o	72915	5.1%
,	68037	4.7%
l	50629	3.5%
Other values (112)	530863	36.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1442944	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	163559	11.3%
a	115170	8.0%
e	104154	7.2%
n	90117	6.2%
	85631	5.9%
r	84316	5.8%
i	77553	5.4%
o	72915	5.1%
,	68037	4.7%
l	50629	3.5%
Other values (112)	530863	36.8%

stars
Text

MISSING

Distinct	42000
Distinct (%)	97.0%
Missing	3338
Missing (%)	7.2%
Memory size	728.8 KiB

Length

Max length	106
Median length	90
Mean length	45.772121
Min length	3

Characters and Unicode

Total characters	1982299
Distinct characters	123
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	41187 ?
Unique (%)	95.1%

Sample

1st row	, Michael Caine, Oscar Homolka, Paul Hubschmid,
2nd row	, Phoebe Cates, Bridget Fonda, Scott Coffey,
3rd row	, Sharni Vinson, Joe Swanberg, AJ Bowen,
4th row	Biju Viswanath
5th row	, Greg Ginn, Ian MacKaye, James Drescher,

Value	Count	Frequency (%)
	35961	12.8%
john	1623	0.6%
michael	1284	0.5%
robert	1113	0.4%
david	997	0.4%
james	938	0.3%
richard	816	0.3%
peter	666	0.2%
tom	644	0.2%
de	638	0.2%
Other values (49683)	235631	84.1%

Most occurring characters

Value	Count	Frequency (%)
	272958	13.8%
a	157650	8.0%
,	147410	7.4%
e	133312	6.7%
	118386	6.0%
n	110170	5.6%
i	102779	5.2%
r	99811	5.0%
o	87730	4.4%
l	71270	3.6%
Other values (113)	680823	34.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1982299	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	272958	13.8%
a	157650	8.0%
,	147410	7.4%
e	133312	6.7%
	118386	6.0%
n	110170	5.6%
i	102779	5.2%
r	99811	5.0%
o	87730	4.4%
l	71270	3.6%
Other values (113)	680823	34.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1982299	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	272958	13.8%
a	157650	8.0%
,	147410	7.4%
e	133312	6.7%
	118386	6.0%
n	110170	5.6%
i	102779	5.2%
r	99811	5.0%
o	87730	4.4%
l	71270	3.6%
Other values (113)	680823	34.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1982299	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	272958	13.8%
a	157650	8.0%
,	147410	7.4%
e	133312	6.7%
	118386	6.0%
n	110170	5.6%
i	102779	5.2%
r	99811	5.0%
o	87730	4.4%
l	71270	3.6%
Other values (113)	680823	34.3%

storyline
Text

MISSING

Distinct	42231
Distinct (%)	99.7%
Missing	4283
Missing (%)	9.2%
Memory size	728.8 KiB

Length

Max length	382
Median length	301
Mean length	184.66867
Min length	3

Characters and Unicode

Total characters	7823119
Distinct characters	153
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	42191 ?
Unique (%)	99.6%

Sample

1st row	Sent to East Berlin to retrieve a Communist defector, British spy Harry Palmer suspects the situation is not what his superiors believe it to be.
2nd row	Summer of 1963. Carson is getting married to her boyfriend so her friends Melaina, Pudge and Luanne take her to Myrtle Beach for one last irresponsible weekend.
3rd row	When the Davison family comes under attack during their wedding anniversary getaway, the gang of mysterious killers soon learns that one of the victims harbors a secret talent for fighting back.
4th row	An Indian film maker is stuck in USA for five months because of global pandemic. During this period, he repeatedly tries to make films, to maintain his sanity. The filmmaking process during Covid was a journey to hell; which teaches the filmmaker about his own disabilities and the screwed-up ways karma works.
5th row	The History of American Punk Rock 1980-1986

Value	Count	Frequency (%)
the	76519	5.7%
a	63258	4.8%
of	43400	3.3%
and	39761	3.0%
to	38670	2.9%
in	27138	2.0%
his	19214	1.4%
is	15728	1.2%
with	11565	0.9%
an	11363	0.9%
Other values (65230)	984868	74.0%

Most occurring characters

Value	Count	Frequency (%)
	1289087	16.5%
e	735285	9.4%
a	527757	6.7%
t	504295	6.4%
i	463495	5.9%
o	456506	5.8%
n	452106	5.8%
r	421180	5.4%
s	406370	5.2%
h	307209	3.9%
Other values (143)	2259829	28.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7823119	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	1289087	16.5%
e	735285	9.4%
a	527757	6.7%
t	504295	6.4%
i	463495	5.9%
o	456506	5.8%
n	452106	5.8%
r	421180	5.4%
s	406370	5.2%
h	307209	3.9%
Other values (143)	2259829	28.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7823119	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	1289087	16.5%
e	735285	9.4%
a	527757	6.7%
t	504295	6.4%
i	463495	5.9%
o	456506	5.8%
n	452106	5.8%
r	421180	5.4%
s	406370	5.2%
h	307209	3.9%
Other values (143)	2259829	28.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7823119	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	1289087	16.5%
e	735285	9.4%
a	527757	6.7%
t	504295	6.4%
i	463495	5.9%
o	456506	5.8%
n	452106	5.8%
r	421180	5.4%
s	406370	5.2%
h	307209	3.9%
Other values (143)	2259829	28.9%

origin_countries
Text

MISSING

Distinct	3911
Distinct (%)	8.8%
Missing	1985
Missing (%)	4.3%
Memory size	728.8 KiB

Length

Max length	176
Median length	175
Mean length	14.212736
Min length	4

Characters and Unicode

Total characters	634755
Distinct characters	57
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3037 ?
Unique (%)	6.8%

Sample

1st row	United Kingdom
2nd row	United States, United Kingdom
3rd row	United States, United Kingdom
4th row	United States
5th row	United States

Value	Count	Frequency (%)
united	28865	30.9%
states	23630	25.3%
kingdom	5140	5.5%
france	3035	3.2%
japan	2759	3.0%
india	2660	2.8%
germany	2431	2.6%
canada	2381	2.5%
italy	2063	2.2%
spain	1308	1.4%
Other values (219)	19128	20.5%

Most occurring characters

Value	Count	Frequency (%)
t	83147	13.1%
e	68251	10.8%
a	62673	9.9%
n	58359	9.2%
	48739	7.7%
i	48655	7.7%
d	42272	6.7%
U	29242	4.6%
s	28662	4.5%
S	27297	4.3%
Other values (47)	137458	21.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	634755	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	83147	13.1%
e	68251	10.8%
a	62673	9.9%
n	58359	9.2%
	48739	7.7%
i	48655	7.7%
d	42272	6.7%
U	29242	4.6%
s	28662	4.5%
S	27297	4.3%
Other values (47)	137458	21.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	634755	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	83147	13.1%
e	68251	10.8%
a	62673	9.9%
n	58359	9.2%
	48739	7.7%
i	48655	7.7%
d	42272	6.7%
U	29242	4.6%
s	28662	4.5%
S	27297	4.3%
Other values (47)	137458	21.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	634755	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	83147	13.1%
e	68251	10.8%
a	62673	9.9%
n	58359	9.2%
	48739	7.7%
i	48655	7.7%
d	42272	6.7%
U	29242	4.6%
s	28662	4.5%
S	27297	4.3%
Other values (47)	137458	21.7%

languages
Text

MISSING

Distinct	3338
Distinct (%)	7.7%
Missing	3211
Missing (%)	6.9%
Memory size	728.8 KiB

Length

Max length	165
Median length	7
Mean length	10.486865
Min length	4

Characters and Unicode

Total characters	455497
Distinct characters	62
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2555 ?
Unique (%)	5.9%

Sample

1st row	English, German
2nd row	English
3rd row	English
4th row	English
5th row	English

Value	Count	Frequency (%)
english	30666	50.3%
french	3321	5.4%
spanish	3299	5.4%
japanese	2796	4.6%
german	2460	4.0%
italian	2086	3.4%
russian	1546	2.5%
hindi	1429	2.3%
mandarin	993	1.6%
korean	711	1.2%
Other values (247)	11633	19.1%

Most occurring characters

Value	Count	Frequency (%)
n	57867	12.7%
i	49842	10.9%
s	44134	9.7%
h	40494	8.9%
l	36001	7.9%
g	33381	7.3%
E	30728	6.7%
a	29529	6.5%
e	19530	4.3%
	17505	3.8%
Other values (52)	96486	21.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	455497	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	57867	12.7%
i	49842	10.9%
s	44134	9.7%
h	40494	8.9%
l	36001	7.9%
g	33381	7.3%
E	30728	6.7%
a	29529	6.5%
e	19530	4.3%
	17505	3.8%
Other values (52)	96486	21.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	455497	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	57867	12.7%
i	49842	10.9%
s	44134	9.7%
h	40494	8.9%
l	36001	7.9%
g	33381	7.3%
E	30728	6.7%
a	29529	6.5%
e	19530	4.3%
	17505	3.8%
Other values (52)	96486	21.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	455497	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	57867	12.7%
i	49842	10.9%
s	44134	9.7%
h	40494	8.9%
l	36001	7.9%
g	33381	7.3%
E	30728	6.7%
a	29529	6.5%
e	19530	4.3%
	17505	3.8%
Other values (52)	96486	21.2%

budget
Text

MISSING

Distinct	2891
Distinct (%)	19.6%
Missing	31898
Missing (%)	68.4%
Memory size	728.8 KiB

Length

Max length	31
Median length	30
Mean length	22.079197
Min length	14

Characters and Unicode

Total characters	325624
Distinct characters	55
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2003 ?
Unique (%)	13.6%

Sample

1st row	$5,000,000 (estimated)
2nd row	$1,000,000 (estimated)
3rd row	$12,000,000 (estimated)
4th row	$40,000,000 (estimated)
5th row	₹1,000,000 (estimated)

Value	Count	Frequency (%)
estimated	14748	48.9%
5,000,000	358	1.2%
20,000,000	349	1.2%
10,000,000	339	1.1%
1,000,000	335	1.1%
15,000,000	303	1.0%
2,000,000	302	1.0%
25,000,000	276	0.9%
30,000,000	272	0.9%
3,000,000	269	0.9%
Other values (2538)	12604	41.8%

Most occurring characters

Value	Count	Frequency (%)
0	79575	24.4%
e	29496	9.1%
t	29496	9.1%
,	25864	7.9%
m	14748	4.5%
d	14748	4.5%
	14748	4.5%
(	14748	4.5%
s	14748	4.5%
i	14748	4.5%
Other values (45)	72705	22.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	325624	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	79575	24.4%
e	29496	9.1%
t	29496	9.1%
,	25864	7.9%
m	14748	4.5%
d	14748	4.5%
	14748	4.5%
(	14748	4.5%
s	14748	4.5%
i	14748	4.5%
Other values (45)	72705	22.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	325624	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	79575	24.4%
e	29496	9.1%
t	29496	9.1%
,	25864	7.9%
m	14748	4.5%
d	14748	4.5%
	14748	4.5%
(	14748	4.5%
s	14748	4.5%
i	14748	4.5%
Other values (45)	72705	22.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	325624	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	79575	24.4%
e	29496	9.1%
t	29496	9.1%
,	25864	7.9%
m	14748	4.5%
d	14748	4.5%
	14748	4.5%
(	14748	4.5%
s	14748	4.5%
i	14748	4.5%
Other values (45)	72705	22.3%

revenue
Text

MISSING

Distinct	17459
Distinct (%)	99.1%
Missing	29024
Missing (%)	62.2%
Memory size	728.8 KiB

Length

Max length	15
Median length	13
Mean length	9.3874135
Min length	2

Characters and Unicode

Total characters	165425
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17307 ?
Unique (%)	98.2%

Sample

1st row	$183
2nd row	$6,957,975
3rd row	$26,895,481
4th row	$376,057
5th row	$63,456,988

Value	Count	Frequency (%)
46,808	6	< 0.1%
824	3	< 0.1%
2,300,000	3	< 0.1%
3,500,000	3	< 0.1%
2,684	3	< 0.1%
160	3	< 0.1%
14,000,000	3	< 0.1%
10,000,000	3	< 0.1%
3,414	3	< 0.1%
4,223	3	< 0.1%
Other values (17434)	17590	99.8%

Most occurring characters

Value	Count	Frequency (%)
,	27870	16.8%
$	17591	10.6%
1	15784	9.5%
2	13227	8.0%
3	12184	7.4%
0	11788	7.1%
4	11660	7.0%
5	11174	6.8%
6	11140	6.7%
7	10889	6.6%
Other values (8)	22118	13.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	165425	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
,	27870	16.8%
$	17591	10.6%
1	15784	9.5%
2	13227	8.0%
3	12184	7.4%
0	11788	7.1%
4	11660	7.0%
5	11174	6.8%
6	11140	6.7%
7	10889	6.6%
Other values (8)	22118	13.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	165425	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
,	27870	16.8%
$	17591	10.6%
1	15784	9.5%
2	13227	8.0%
3	12184	7.4%
0	11788	7.1%
4	11660	7.0%
5	11174	6.8%
6	11140	6.7%
7	10889	6.6%
Other values (8)	22118	13.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	165425	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
,	27870	16.8%
$	17591	10.6%
1	15784	9.5%
2	13227	8.0%
3	12184	7.4%
0	11788	7.1%
4	11660	7.0%
5	11174	6.8%
6	11140	6.7%
7	10889	6.6%
Other values (8)	22118	13.4%

runtime
Text

Distinct	299
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	728.8 KiB

Length

Max length	19
Median length	17
Mean length	14.373473
Min length	0

Characters and Unicode

Total characters	670465
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	77 ?
Unique (%)	0.2%

Sample

1st row	1 hour 42 minutes
2nd row	1 hour 38 minutes
3rd row	1 hour 35 minutes
4th row	1 hour 1 minute
5th row	1 hour 40 minutes

Value	Count	Frequency (%)
minutes	39333	25.0%
1	32787	20.9%
hour	32407	20.6%
hours	6390	4.1%
2	6367	4.1%
30	2138	1.4%
35	1189	0.8%
40	1187	0.8%
25	1086	0.7%
20	1042	0.7%
Other values (57)	33094	21.1%

Most occurring characters

Value	Count	Frequency (%)
	116235	17.3%
u	78510	11.7%
s	45723	6.8%
1	40590	6.1%
m	39713	5.9%
e	39713	5.9%
t	39713	5.9%
i	39713	5.9%
n	39713	5.9%
r	38797	5.8%
Other values (11)	152045	22.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	670465	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	116235	17.3%
u	78510	11.7%
s	45723	6.8%
1	40590	6.1%
m	39713	5.9%
e	39713	5.9%
t	39713	5.9%
i	39713	5.9%
n	39713	5.9%
r	38797	5.8%
Other values (11)	152045	22.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	670465	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	116235	17.3%
u	78510	11.7%
s	45723	6.8%
1	40590	6.1%
m	39713	5.9%
e	39713	5.9%
t	39713	5.9%
i	39713	5.9%
n	39713	5.9%
r	38797	5.8%
Other values (11)	152045	22.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	670465	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	116235	17.3%
u	78510	11.7%
s	45723	6.8%
1	40590	6.1%
m	39713	5.9%
e	39713	5.9%
t	39713	5.9%
i	39713	5.9%
n	39713	5.9%
r	38797	5.8%
Other values (11)	152045	22.7%

genres
Text

Distinct	1063
Distinct (%)	2.3%
Missing	74
Missing (%)	0.2%
Memory size	728.8 KiB

Length

Max length	34
Median length	28
Mean length	19.512583
Min length	3

Characters and Unicode

Total characters	908740
Distinct characters	36
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	303 ?
Unique (%)	0.7%

Sample

1st row	Thriller
2nd row	Comedy, Drama, Romance
3rd row	Drama, Horror, Thriller
4th row	Biography, Comedy
5th row	Documentary, History, Music

Value	Count	Frequency (%)
drama	17302	15.5%
action	11601	10.4%
biography	10026	9.0%
animation	9693	8.7%
comedy	8360	7.5%
documentary	7317	6.6%
adventure	6785	6.1%
thriller	5831	5.2%
crime	5587	5.0%
horror	4457	4.0%
Other values (15)	24327	21.9%

Most occurring characters

Value	Count	Frequency (%)
r	83171	9.2%
a	75547	8.3%
i	65473	7.2%
,	64714	7.1%
	64714	7.1%
o	63159	7.0%
m	54061	5.9%
n	53539	5.9%
e	51360	5.7%
t	47255	5.2%
Other values (26)	285747	31.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	908740	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	83171	9.2%
a	75547	8.3%
i	65473	7.2%
,	64714	7.1%
	64714	7.1%
o	63159	7.0%
m	54061	5.9%
n	53539	5.9%
e	51360	5.7%
t	47255	5.2%
Other values (26)	285747	31.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	908740	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	83171	9.2%
a	75547	8.3%
i	65473	7.2%
,	64714	7.1%
	64714	7.1%
o	63159	7.0%
m	54061	5.9%
n	53539	5.9%
e	51360	5.7%
t	47255	5.2%
Other values (26)	285747	31.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	908740	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	83171	9.2%
a	75547	8.3%
i	65473	7.2%
,	64714	7.1%
	64714	7.1%
o	63159	7.0%
m	54061	5.9%
n	53539	5.9%
e	51360	5.7%
t	47255	5.2%
Other values (26)	285747	31.4%

revenue_in_usd
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	17416
Distinct (%)	99.0%
Missing	29053
Missing (%)	62.3%
Infinite	0
Infinite (%)	0.0%
Mean	39741230

Minimum	3
Maximum	2.923706 × 10⁹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	728.8 KiB

Quantile statistics

Minimum	3
5-th percentile	5899.6
Q1	174036
median	2443487
Q3	22227514
95-th percentile	2.021434 × 10⁸
Maximum	2.923706 × 10⁹
Range	2.923706 × 10⁹
Interquartile range (IQR)	22053478

Descriptive statistics

Standard deviation	1.2317535 × 10⁸
Coefficient of variation (CV)	3.0994348
Kurtosis	89.358949
Mean	39741230
Median Absolute Deviation (MAD)	2432700
Skewness	7.5211205
Sum	6.9916746 × 10¹¹
Variance	1.5172167 × 10¹⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
46808	6	< 0.1%
14000000	3	< 0.1%
3414	3	< 0.1%
2300000	3	< 0.1%
160	3	< 0.1%
2684	3	< 0.1%
10000000	3	< 0.1%
3000000	3	< 0.1%
4223	3	< 0.1%
11000000	3	< 0.1%
Other values (17406)	17560	37.6%
(Missing)	29053	62.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
3	1	< 0.1%
4	1	< 0.1%
6	1	< 0.1%
9	1	< 0.1%
13	1	< 0.1%
19	1	< 0.1%
24	2	< 0.1%
26	1	< 0.1%
30	1	< 0.1%
31	1	< 0.1%

Value	Count	Frequency (%)
2923706026	1	< 0.1%
2799439100	1	< 0.1%
2320250281	1	< 0.1%
2264750694	1	< 0.1%
2071310218	1	< 0.1%
2052415039	1	< 0.1%
1922598800	1	< 0.1%
1671537444	1	< 0.1%
1663079059	1	< 0.1%
1520538536	1	< 0.1%

budget_in_usd
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	1839
Distinct (%)	13.7%
Missing	33174
Missing (%)	71.1%
Infinite	0
Infinite (%)	0.0%
Mean	19444573

Minimum	1
Maximum	2 × 10⁹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	728.8 KiB

Quantile statistics

Minimum	1
5-th percentile	20000
Q1	1000000
median	5500000
Q3	20000000
95-th percentile	85000000
Maximum	2 × 10⁹
Range	2 × 10⁹
Interquartile range (IQR)	19000000

Descriptive statistics

Standard deviation	39113740
Coefficient of variation (CV)	2.0115504
Kurtosis	498.22308
Mean	19444573
Median Absolute Deviation (MAD)	5359000
Skewness	12.248627
Sum	2.6195729 × 10¹¹
Variance	1.5298846 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5000000	361	0.8%
20000000	340	0.7%
10000000	336	0.7%
1000000	335	0.7%
15000000	301	0.6%
2000000	296	0.6%
25000000	267	0.6%
30000000	266	0.6%
3000000	265	0.6%
12000000	218	0.5%
Other values (1829)	10487	22.5%
(Missing)	33174	71.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	11	< 0.1%
1.13	1	< 0.1%
2	1	< 0.1%
2.26	1	< 0.1%
3.39	1	< 0.1%
4	3	< 0.1%
4.52	1	< 0.1%
5	4	< 0.1%
5.65	3	< 0.1%
7.91	1	< 0.1%

Value	Count	Frequency (%)
2000000000	1	< 0.1%
414900000	1	< 0.1%
356000000	1	< 0.1%
350000000	2	< 0.1%
340000000	1	< 0.1%
321000000	1	< 0.1%
317000000	1	< 0.1%
300000000	5	< 0.1%
294700000	1	< 0.1%
291000000	1	< 0.1%

runtime_in_minutes
Real number (ℝ)

SKEWED ZEROS

Distinct	118
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.450542

Minimum	0
Maximum	59460
Zeros	11806
Zeros (%)	25.3%
Negative	0
Negative (%)	0.0%
Memory size	728.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	87
Q3	98
95-th percentile	114
Maximum	59460
Range	59460
Interquartile range (IQR)	98

Descriptive statistics

Standard deviation	417.61094
Coefficient of variation (CV)	5.8447554
Kurtosis	16106.945
Mean	71.450542
Median Absolute Deviation (MAD)	17
Skewness	125.16983
Sum	3332882
Variance	174398.9
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	11806	25.3%
90	1991	4.3%
95	1101	2.4%
100	1088	2.3%
85	973	2.1%
93	970	2.1%
92	956	2.0%
91	921	2.0%
96	899	1.9%
98	886	1.9%
Other values (108)	25055	53.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	11806	25.3%
3	3	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	3	< 0.1%
7	3	< 0.1%
9	1	< 0.1%
10	3	< 0.1%
11	2	< 0.1%
12	4	< 0.1%

Value	Count	Frequency (%)
59460	1	< 0.1%
51420	1	< 0.1%
43200	1	< 0.1%
5220	1	< 0.1%
720	1	< 0.1%
420	1	< 0.1%
360	2	< 0.1%
300	3	< 0.1%
240	13	< 0.1%
180	33	0.1%

Auto

Heatmap
Table

	budget_in_usd	rating	revenue_in_usd	runtime_in_minutes
budget_in_usd	1.000	0.098	0.732	0.163
rating	0.098	1.000	0.166	-0.067
revenue_in_usd	0.732	0.166	1.000	0.067
runtime_in_minutes	0.163	-0.067	0.067	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	id	title	rating	directors	writers	stars	storyline	origin_countries	languages	budget	revenue	runtime	genres	revenue_in_usd	budget_in_usd	runtime_in_minutes
0	tt0060437	Funeral in Berlin	6.8	Guy Hamilton	Len Deighton, Evan Jones	, Michael Caine, Oscar Homolka, Paul Hubschmid,	Sent to East Berlin to retrieve a Communist defector, British spy Harry Palmer suspects the situation is not what his superiors believe it to be.	United Kingdom	English, German	NaN	$183	1 hour 42 minutes	Thriller	183.0	NaN	102
1	tt0098300	Shag	NaN	Zelda Barron	, Lanier Laney, Terry Sweeney, Robin Swicord,	, Phoebe Cates, Bridget Fonda, Scott Coffey,	Summer of 1963. Carson is getting married to her boyfriend so her friends Melaina, Pudge and Luanne take her to Myrtle Beach for one last irresponsible weekend.	United States, United Kingdom	English	$5,000,000 (estimated)	$6,957,975	1 hour 38 minutes	Comedy, Drama, Romance	6957975.0	5000000.0	98
2	tt1853739	You're Next	6.6	Adam Wingard	Simon Barrett	, Sharni Vinson, Joe Swanberg, AJ Bowen,	When the Davison family comes under attack during their wedding anniversary getaway, the gang of mysterious killers soon learns that one of the victims harbors a secret talent for fighting back.	United States, United Kingdom	English	$1,000,000 (estimated)	$26,895,481	1 hour 35 minutes	Drama, Horror, Thriller	26895481.0	1000000.0	95
3	tt22036900	Covid Karma	NaN	Biju Viswanath	noneStars, Rodney Norman, Christine Ohlman, Christopher Annino, noneStars	Biju Viswanath	An Indian film maker is stuck in USA for five months because of global pandemic. During this period, he repeatedly tries to make films, to maintain his sanity. The filmmaking process during Covid was a journey to hell; which teaches the filmmaker about his own disabilities and the screwed-up ways karma works.	United States	English	NaN	NaN	1 hour 1 minute	Biography, Comedy	NaN	NaN	0
4	tt0419434	American Hardcore	NaN	Paul Rachman	noneWriter, Steven Blush, noneWriter	, Greg Ginn, Ian MacKaye, James Drescher,	The History of American Punk Rock 1980-1986	United States	English	NaN	$376,057	1 hour 40 minutes	Documentary, History, Music	376057.0	NaN	100
5	tt15073144	Dark Ditties from Down Under	NaN	noneDirectors, Gerardo Chierchia, David Black, Fabio Segatori, noneDirectors	David Black	, David Black, Fabricio Christian Amansi, Simay Argento,	"Dark Ditties From Down Under" is a hosted anthology of the strange short films of David Black and Gerardo Chierchia.	Australia	English	NaN	NaN	1 hour 42 minutes	Animation, Action, Adventure	NaN	NaN	102
6	tt0082406	The Fox and the Hound	7.2	noneDirectors, Ted Berman, Richard Rich, Art Stevens, noneDirectors	, Daniel P. Mannix, Larry Clemmons, Ted Berman,	, Mickey Rooney, Kurt Russell, Pearl Bailey,	A fox named Tod and a hound named Copper vow to be best friends forever. But as Copper grows into a hunting dog, their unlikely friendship faces the ultimate test.	United States	English	$12,000,000 (estimated)	$63,456,988	1 hour 23 minutes	Animation, Adventure, Drama	63456988.0	12000000.0	83
7	tt0421729	Big Momma's House 2	4.8	John Whitesell	Don Rhymer, Darryl Quarles	, Martin Lawrence, Emily Procter, Nia Long,	An FBI agent reprises his disguise as a corpulent old lady and takes a job as a nanny in a crime suspect's house.	United States	English	$40,000,000 (estimated)	$141,522,961	1 hour 39 minutes	Comedy, Crime	141522961.0	40000000.0	99
8	tt0077941	Molière	7.6	Ariane Mnouchkine	Ariane Mnouchkine	, Philippe Caubère, Marie-Françoise Audollent, Frédéric Ladonne,	Who was Moliere? He is known everywhere as one of the world's greatest playwrights. But who was he? Born Jean-Baptiste Poquelin in 1622, the son of a prosperous tapestry maker. His mother died when he was a boy. Growing up in the teeming streets of 17th century Paris, Jean Baptiste received a good Jesuit education and was fascinated by the street fairs and traveling c... Read all	France, Italy	French, Latin, Greek, Ancient (to 1453), Italian	NaN	NaN	4 hours 20 minutes	Biography, Drama, History	NaN	NaN	0
9	tt10472748	Uta no Prince Sama Maji Love Kingdom, The Movie	6.7	Jouji Furuta, Tomoka Nagaoka	noneStars, Hiro Shimono, Jun'ichi Suwabe, Ken'ichi Suzumura, noneStars	Jouji Furuta, Tomoka Nagaoka	Idol groups Starish, Quartet Night and Heavens come together for a joint concert in this musical animated movie adaptation.	Japan	Japanese	NaN	$11,597,863	1 hour 24 minutes	Animation, Musical, Romance	11597863.0	NaN	84

	id	title	rating	directors	writers	stars	storyline	origin_countries	languages	budget	revenue	runtime	genres	revenue_in_usd	budget_in_usd	runtime_in_minutes
46636	tt7156922	Rebel Magic	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN		Animation, Comedy, Fantasy	NaN	NaN	0
46637	tt0338086	Haker	NaN	Janusz Zaorski	Jaroslaw Hess, Marek Nowowiejski, Janusz Zaorski	, Bartosz Obuchowicz, Piotr Miazga, Kasia Smutniak,	Two unlikely high-school friends share a common passion for computer hacking. Problems arise when their abilities are noticed by a group of gangsters.	Poland	English, Polish, Italian	NaN	$244,922	1 hour 30 minutes	Action, Comedy	244922.0	NaN	90
46638	tt13138488	Dragons, Giants & Witches	NaN	Christopher Rawson	Jonathan Kydd	Christopher Rawson	Animated Stories about the various Myths, Legends and Tales about Firebreathing dragons, Mountain Tall Giants and Mysterious Magic-Wielding Witches.	United Kingdom	English	NaN	NaN	1 hour 9 minutes	Animation, Fantasy	NaN	NaN	69
46639	tt26246066	The Silver Twilight	NaN	Roy Thomas	Rick Ashley	Simon Broad, John Culkin, Pierre Tremblay	When the King of Monsters discovers that a group of rebel monsters are kidnapping innocent human beings, he sends his son into the human world with his magic staff and He is joined on the hunt by a group of young human rebels, and a bear.	South Korea	English	HK$1,000 (estimated)	NaN	57 minutes	Animation	NaN	1000.0	57
46640	tt0091083	From Beyond	6.6	Stuart Gordon	, H.P. Lovecraft, Brian Yuzna, Dennis Paoli,	, Jeffrey Combs, Barbara Crampton, Ted Sorel,	A group of scientists have developed the Resonator, a machine which allows whoever is within range to see beyond normal perceptible reality. But when the experiment succeeds, they are immediately attacked by terrible life forms.	United States, Italy	English	$4,500,000 (estimated)	$1,261,000	1 hour 25 minutes	Horror, Sci-Fi	1261000.0	4500000.0	85
46641	tt0292352	Wheatfield with Crows	NaN	Brent Roske	David Lawrence Baker, Brent Roske	, Willie Wisely, David Carradine, Kate Clarke,	'Wheatfield with Crows' takes the life of Vincent Van Gogh and sets it in the modern day music industry. With David Carradine, Theo Van Gogh, Kate Clarke and Henry Jaglom - featuring a soundtrack by Grammy nominated composer Willie Wisely, who also plays the lead character, Willie Vincent.	Netherlands	NaN	NaN	NaN		Biography, Drama, Music	NaN	NaN	0
46642	tt1492959	Lifted	NaN	Lexi Alexander	Lexi Alexander	, Nicki Aycox, Uriah Shelton, Dash Mihok,	13 year old Henry Matthews struggles with life after his reservist father is deployed to Afghanistan. With the help of a local pastor, the boy decides to take part in a local singing contest.	United States	English	NaN	NaN	1 hour 48 minutes	Drama, Music, War	NaN	NaN	108
46643	tt27641085	Sijjin	5.3	Hadrah Daeng Ratu	Lele Laila, Ersan Özer	, Ibrahim Risyad, Anggika Bolsterli, Messi Gusti,	A young woman who uses black magic to threaten her cousin's wife.	Indonesia	Indonesian	NaN	NaN	1 hour 40 minutes	Horror, Thriller	NaN	NaN	100
46644	tt26525418	Little Alice's Storytime: Through the Looking Glass Part 1	NaN	Ken Thurlow	Ken Thurlow	, Carol Bee, Paul Castro Jr., Simon Hill,	Little Alice, Hatter, Dormouse and the Cheshire cat are here to share their fantastic adventures in Wonderland in Part 1 of this animated storytime.	United States	English	NaN	NaN	1 hour 5 minutes	Animation	NaN	NaN	65
46645	tt0030055	Gorky 1: The Childhood of Maxim Gorky	7.2	Mark Donskoy	Mark Donskoy, Maxim Gorky, Ilya Gruzdev	, Aleksei Lyarsky, Varvara Massalitinova, Mikhail Troyanovskiy,	A drama reveals the great writer's inauspicious early years as an orphan raised by conniving relatives.	Soviet Union	Russian	NaN	NaN	1 hour 38 minutes	Biography, Drama	NaN	NaN	98

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